7T MRA for Distinguishing Small Intracranial Aneurysms from Variant Anatomy: Protocols and Impact

Vishal Patel1, Ahmed K Ahmed2, Jorge Rios-Zermeno3

  • 1From the Department of Radiology (V.P., A.K.A., X.Z., S.T., E.M.W., S.J.S.S., E.H.M.), Mayo Clinic, Jacksonville, Florida patel.vishal@mayo.edu.

Abstract

Insights

High-resolution 7T MRA frequently reclassifies small unruptured intracranial aneurysms (UIAs) as anatomical variants, especially when initially detected by lower-field imaging. This can significantly reduce unnecessary follow-up scans and associated costs.

Area of Science:

  • Neuroradiology
  • Medical Imaging
  • Neuroscience

Background:

  • Unruptured intracranial aneurysms (UIAs) are increasingly detected via noninvasive imaging.
  • Limited resolution can lead to false positives, causing patient anxiety and unnecessary procedures.
  • 7T MRA offers higher resolution to potentially differentiate UIAs from variant anatomy.

Purpose of the Study:

  • Investigate 7T MRA sequences for reducing UIA overdiagnosis.
  • Identify characteristics of suspected aneurysms associated with diagnostic reversal.
  • Estimate the impact on imaging utilization and cost savings.

Main Methods:

  • Retrospective evaluation of 41 suspected aneurysms in 34 patients using 7T MRA (conventional TOF, compressed sensing TOF, contrast-enhanced MRA).
  • Neuroradiologists assessed lesions for reclassification as anatomical variants.
  • Logistic regression analyzed relationships between sequence type, aneurysm characteristics, and downgrade likelihood.

Main Results:

  • 7T MRA permitted diagnostic downgrade in 46% of suspected aneurysms.
  • Lesions initially detected on 1.5T MRA were more likely to be downgraded (53%) than those on 3T MRA (38%).
  • Smaller aneurysm size was significantly associated with downgrade likelihood (lesions <1 mm reclassified, none >3 mm).

Conclusions:

  • 7T MRA effectively reclassifies small suspected UIAs as variants, particularly those identified by lower-field imaging.
  • This capability can significantly reduce unnecessary follow-up imaging.
  • Potential for substantial cost savings in healthcare utilization.

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